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Found 3 papers, 1 papers with code
A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation
IRSs usually face the large discrete action space problem, which makes most of the existing RL-based recommendation methods inefficient.
Dust concentration vision measurement based on moment of inertia in gray level-rank co-occurrence matrix
To improve the accuracy of existing dust concentration measurements, a dust concentration measurement based on Moment of inertia in Gray level-Rank Co-occurrence Matrix (GRCM), which is from the dust image sample measured by a machine vision system is proposed in this paper.
Agglomerative clustering and collectiveness measure via exponent generating function
A novel agglomerative clustering method is proposed by utilizing the path integral to define the affinity measure.
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